I am pleased to annonce that our paper "Efficient Generative Transformer Operators For Million-Point PDEs" writen with Armand Kassaï Koupaï and Patrick Gallinari has been accepted to the NeurIPS 2026 conference!
Latest News
I successfully defended my PhD on June 10, 2026! 🎓
"Meshless neural solvers and generative operators for parametric PDEs"
I am thrilled to announce that I have successfully defended my PhD thesis on June 10, 2026 at Sorbonne University! A big thank you to my advisors, collaborators, jury members, family and friends for their support throughout this journey. The manuscript is now available online.
Selected as Gold Reviewer for ICML 2026!
I am honored to announce that I have been selected as a Gold Reviewer for ICML 2026!
New preprint paper "Efficient Generative Transformer Operators For Million-Point PDEs"
Check our latest preprint paper called "Efficient Generative Transformer Operators For Million-Point PDEs" writen with Armand Kassaï Koupaï and Patrick Gallinari.
Selected as Top Reviewer for NeurIPS 2025!
I am honored to announce that I have been selected as a Top Reviewer for NeurIPS 2025!
I am pleased to annonce that our paper "ENMA: Tokenwise Autoregression for Generative Neural PDE Operators." writen with Armand Kassaï Koupaï, Louis Serrano and Patrick Gallinari has been accepted to the NeurIPS 2025 conference as a SPOTLIGHT paper!
New preprint paper "ENMA: Tokenwise Autoregression for Generative Neural PDE Operators."
Check our latest preprint paper called "ENMA: Tokenwise Autoregression for Generative Neural PDE Operators." writen with Armand Kassaï Koupaï, Louis Serrano and Patrick Gallinari. "
I am pleased to annonce that our paper "Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods" writen with Emmanuel De Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin and Patrick Gallinari has been accepted to the ICLR 2025 conference!
Participating to the GenAI Automn School!
Had a great time in Saclay for the GenAI Automn School. We had great talks about generative AI and big models, illustrated with labs!
Selected as Top Reviewer for NeurIPS 2024!
I am honored to announce that I have been selected as a Top Reviewer for NeurIPS 2024!
New preprint paper!
Check our last preprint paper on ArXiv "Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods".
Participating to the Climate Change AI Summer School 2024! (online event)
Thanks for this amazingly interesting summer school! Presenter were passioned about their topics, and I feel even more interested in using AI for climate in the future. We learned a lot about application of ML and AI for climate purposes in many fields such as: agriculture, cities, forestry, wildlife, energy... And many others!
Accepted Paper at AI4diffeq ICLR 2024 Workshop.
I am pleased to annonce that our paper "Learning iterative algorithms to solve PDEs" writen with Emmanuel De Bézenac, Louis Serrano, Yuan Yin and Patrick Gallinari has been accepted to the AI4DiffEq Workshop at ICLR 2024!
Accepted Paper at NeurIPS 2023!
I am pleased to annonce that our paper "Operator learning with neural fields: Tackling PDEs on general geometries." writen with Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin, Jean-Noël Vittaut and Patrick Gallinari has been accepted to the AI4DiffEq Workshop at ICLR 2024!
Great time at ESSAI & ACAI Summer School 2023 in Ljubljana! Thanks for the interesting talks and conferences. It was a great opportunity to meet new people and learn about AI for Science in several domain!
